Video Editor

Most exposed tasks

Highest structured exposure values in this role’s task mix — the work AI systems can already do most of.

• Verify key numbers and time codes on materials.70
• Mark frames where a particular shot or piece of sound is to begin or end.65
• Program computerized graphic effects.60

Augmentable tasks

Work where AI assists rather than replaces — the productivity frontier of this role.

• Add effects and color55
• Trim film segments to specified lengths and reassemble segments in sequences that present stories with maximum effect.55
• Cut and assemble footage45

Most durable tasks

Lowest exposure — typically judgment, relationships, physical presence, or accountability. This is the human moat.

• Collaborate with directors20
• Supervise and coordinate activities of workers engaged in film editing, assembling, and recording activities.25
• Shape narrative and pacing30

Task exposure values and classifications are published, versioned estimates audited against the anchored rubric. This page reads them from the data release rather than generating them at request time. Bars show exposure contribution relative to this role’s task mix.

What this means

A score of 43 puts Video Editor in the third quartile of analyzed occupations. In practice, exposure this high is about the mix: 3 of 20 analyzed tasks lean automatable, 12 augmentable, and 5 durable. The useful question isn’t “will AI take this job” — it’s which tasks go first, which get faster, and where to reposition time. That’s what the personalized report maps against your actual week.

Lower-exposure adjacent roles

No adjacent role in the current data release is at least 10 points lower with ≥50% skill overlap — we don’t label anything “safer” unless the data supports it.

Labor-market context

• $63,000median wage
• +5.0%projected growth

Context only — labor statistics are not inputs to the exposure score. See methodology.

Related roles

Adjacent by skills or family — no exposure claim implied.

• Content Strategist 46
• Social Media Manager 68
• Editors 41
• Producers and Directors 35
• Special Effects Artists and Animators 47
• Desktop Publishers 62

How this score was calculated

FAQ — Video Editor

Will AI replace Video Editor?

This score cannot predict whether this occupation or any individual job will be replaced. It shows which tasks current and near-term AI can perform or accelerate, which tasks remain more durable, and where a worker can adapt. Employer decisions, demand, regulation, and how the role changes are outside the score.

What does a score of 43 mean for a Video Editor?

It means that, weighted across the 20 tasks we analyzed for this role, the task mix sits at 43 on a 0–100 exposure scale — in the third quartile of analyzed occupations. It measures task exposure to current and near-term AI capabilities, not the probability of losing a job.

Which tasks in this role are most exposed to AI?

The highest-exposure tasks are: Verify key numbers and time codes on materials; Mark frames where a particular shot or piece of sound is to begin or end; Program computerized graphic effects. Exposure comes from the published, rubric-scored data release rather than being generated when you open this page.

Which parts of this job are most durable?

The most durable responsibilities are: Collaborate with directors; Supervise and coordinate activities of workers engaged in film editing, assembling, and recording activities; Shape narrative and pacing. Durable tasks typically depend on judgment, relationships, physical presence, or accountability.

Is this score personalized to me?

No — this page shows the occupation-level baseline. Two people with the same title often do different work. The $9 personalized report recalculates the score from the tasks you actually do and builds a concrete 7/30/90-day plan around them.